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Published Articles >> Table of Contents >> Abstract
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)
pp. 941-946
Proteome Profiling without Selection Bias
Annalisa Barla, ITC-irst, Italy
Bettina Irler, ITC-irst, Italy
Stefano Merler, ITC-irst, Italy
Giuseppe Jurman, ITC-irst, Italy
Silvano Paoli, ITC-irst, Italy
Cesare Furlanello, ITC-irst, Italy
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.134
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| Abstract |
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In this paper, we present a method for predictive profiling
of mass spectrometry data. The method integrates a spectra
preprocessing pipeline with a complete validation setup
aimed at identifying the discriminating peaks and at providing
an unbiased estimate of the predictive classification
error, based on SVM classifiers and on Entropy-based RFE
procedure. A particular emphasis is placed upon avoiding
selection bias effects throughout all the analysis steps, from
preprocessing to peak importance ranking.
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 Additional Information
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Citation:
Annalisa Barla, Bettina Irler, Stefano Merler, Giuseppe Jurman, Silvano Paoli, Cesare Furlanello,
"Proteome Profiling without Selection Bias,"
cbms,
pp. 941-946,
19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06),
2006
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